主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

Journal of Meteorology and Environment ›› 2024, Vol. 40 ›› Issue (4): 90-99.doi: 10.3969/j.issn.1673-503X.2024.04.011

• Articles • Previous Articles     Next Articles

Analysis of ozone concentration variations and their relationships with meteorological factors in the Beijing-Tianjin-Hebei region from 2013 to 2020

Yannan HU1,2(),Wenxing LI1,*(),Zhi ZHANG3,Yayin JIAO3   

  1. 1. Hebei Information Engineering School, Baoding 071000, China
    2. Hebei Key Laboratory of Meteorology and Eco-environmental Science, Shijiazhuang 050021, China
    3. Hebei Center for Meteorological Disaster Prevention and Environmental Meteorology, Shijiazhuang 050021, China
  • Received:2023-10-25 Online:2024-08-28 Published:2024-10-11
  • Contact: Wenxing LI E-mail:357948341@qq.com;liwenxing17@qq.com

Abstract:

Using the daily maximum 8-hour moving average values of near-surface ozone concentration data from 2013 to 2020 in the Beijing-Tianjin-Hebei region and concurrent atmospheric reanalysis data, this study employs Empirical Orthogonal Functions (EOF) and Singular Value Decomposition (SVD) techniques to analyze the variations in near-surface ozone concentrations, the typical spatial distribution of ozone modal concentrations, and their relationships with major meteorological factors. The results indicate that the near-surface ozone concentration in the Beijing-Tianjin-Hebei region overall shows an increasing trend, with significant increases noted from 2017 to 2019, exhibiting a spatial distribution pattern of higher concentrations in the south and lower in the north. The first mode of the EOF reveals consistent spatial variability in near-surface ozone concentrations across the region, with the most significant changes observed in the areas around the junctions of Baoding, Shijiazhuang, Hengshui, and Cangzhou. The daily maximum 8-hour moving average values of ozone concentration are positively correlated with the temperature at 15:00 and the meridional wind speed, and negatively correlated with the relative humidity at the same time, with these correlations being most significant in the southern part of the Beijing-Tianjin-Hebei region.

Key words: Pollution day, Empirical Orthogonal Function (EOF), Singular Value Decomposition (SVD)

CLC Number: